How to train Neural Networks

In this post, I am going to write about the general blueprint to be followed for any deep learning model. Here I am not going in-depth into deep learning concepts but this acts as a basic step that can be followed to develop neural networks. Some steps may be added or can be removed from the below list based on the requirement. The data we get for modeling is most of the time unstructured and raw, where we have lots of data that is not required for our case. The first step comes in modeling a neural network is weight initialization and this is an extremely important step because if the weights are not initialized properly then converging to minima is impossible, but if done is the right way then optimization is achieved in the least time.